Title :
An adaptive model of health diagnosis for agile software development
Author_Institution :
Inst. of Software & Intell. Technol., Hangzhou Dianzi Univ., Hangzhou
Abstract :
In agile software development process, the changes from customers are evitable, which will affect the delivery of the working code with high quality in iteration. In order to ensure the code delivery with high quality on schedule, the impact of the changes should be evaluated for diagnosing the health of the project during the execution of the iteration. This paper presents an adaptive model of health diagnosis for agile software development, which considers about the effects of changes, risks and labor intension. Through the quantitative evaluation on the effects, health diagnosis report is provided as an efficient decision support tool for the management staff to know the overall status of the project and make right decision for the next development work.
Keywords :
iterative methods; project management; risk management; software development management; agile software development process; code delivery; decision support tool; labor intension; management staff; project health diagnosis; risks intension; Collaborative software; Cybernetics; Electronic mail; Learning systems; Machine learning; Programming; Project management; Risk management; Scheduling; Software quality; Agile; health diagnosis; risk management;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620486
